ROC curve analysis of a set of biomarkers obtained via untargeted metabolomics in serum samples from children infected with DENV compared to Control.

ROC curve analysis of a set of biomarkers obtained via untargeted metabolomics in serum samples from children infected with DENV compared to Control.

<p><b>A.</b> ROC curve view shows an area under ROC curve (AUC) of 0.962. <b>B.</b> Tester analysis shows 93% (70 out of 75) of correct classification. ROC, Receptor operating characteristics.</p>

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Auteur principal: Ricardo E. Correa Fierro (22676430) (author)
Autres auteurs: Noroska Gabriela Mogollón Salazar (22676433) (author), Washington B. Cárdenas (3213597) (author), Evencio Joel Medina-Villamizar (22676436) (author), Jefferson Pastuña-Fasso (22676439) (author), Melanie Ochoa-Ocampo (21222826) (author), Giovanna Morán-Marcillo (22676442) (author), Mary Ernestina Regato Arrata (22676445) (author), Mildred Zambrano (16641645) (author), Joyce Andrade (16641648) (author), Juan Chang (8280894) (author), Saurabh Mehta (367781) (author), Fernanda Bertuccez Cordeiro (16641642) (author)
Publié: 2025
Sujets:
Biochemistry
Medicine
Microbiology
Cell Biology
Biotechnology
Cancer
Virology
Biological Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
receiver operating characteristic
highest predictive power
faster patient screening
component 5 showing
complex immune response
serum lipid metabolome
evaluate biomarker performance
denv ), triggers
serum lipidomics profiling
new diagnostic tools
div >< p
disproportionately affects children
assess group separation
pediatric dengue fever
dengue virus infection
denv infected group
dengue virus
dengue fever
lipid metabolism
diagnostic methods
diagnosis tools
dengue research
biomarker potential
biomarker discovery
z </
subtropical regions
metabolic alterations
may contribute
mass spectrometry
key role
glycerol lipids
fatty acids
despite advancements
curve analysis
adolescents infected
68345 ).
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Description
Résumé:<p><b>A.</b> ROC curve view shows an area under ROC curve (AUC) of 0.962. <b>B.</b> Tester analysis shows 93% (70 out of 75) of correct classification. ROC, Receptor operating characteristics.</p>

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